Causal Interactions Within the Default Mode Network as Revealed by Low-Frequency Brain Fluctuations and Information Transfer Entropy

被引：5

作者：

Sharaev, Maksim ^{[1
,2
,3
]}

Ushakov, Vadim ^{[1
,4
]}

Velichkovsky, Boris ^{[1
,5
,6
]}

机构：

[1] Natl Res Ctr Kurchatov Inst, Moscow, Russia

[2] Moscow MV Lomonosov State Univ, Fac Phys, Moscow, Russia

[3] Russian Acad Sci, Inst Higher Nervous Act & Neurophysiol, Moscow, Russia

[4] Natl Res Nucl Univ MEPhI, Dept Cybernet, Moscow, Russia

[5] Moscow Inst Phys & Technol, NBICS Fac, Dolgoprudnyi, Moscow Region, Russia

[6] Tech Univ Dresden, Appl Cognit Res Unit, Dresden, Germany

来源：

BIOLOGICALLY INSPIRED COGNITIVE ARCHITECTURES (BICA) FOR YOUNG SCIENTISTS | 2016年 / 449卷

基金：

俄罗斯科学基金会;

关键词：

Effective connectivity; Default mode network; Resting-state fMRI; Transfer entropy;

D O I：

10.1007/978-3-319-32554-5_27

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The Default Mode Network (DMN) is a brain system that mediates internal modes of cognitive activity, showing higher neural activation when one is at rest. The aim of the current work is to find a connectivity pattern between the four DMN key regions without any a priori assumptions on the underlying network architecture. For this purpose functional magnetic resonance imaging (fMRI) data from 30 healthy subjects (1000 time points from each one) was acquired and Transfer Entropy (TE) between fMRI time-series was calculated. The significant results at the group level were obtained by testing against the surrogate data. For initial 500, final 500 and total 1000 time points we found stable causal interactions between mPFC, PCC and LIPC. For some scanning intervals there are also connections from RIPC to mPFC and PCC. These results are in part conforming to earlier studies and models of effective connectivity within the DMN.

引用

页码：213 / 218

页数：6

共 6 条

[1]

[Anonymous], 2007, STAT PARAMETRIC MAPP

[2] Identifying the default mode network structure using dynamic causal modeling on resting-state functional magnetic resonance imaging [J].